Daniel Kifer

Professor of Computer Science & Engineering

Daniel Kifer

Publication Tags

Learning Statistics Soil Moisture Neural Networks Crime Moisture Method Prolongation Prediction Opinion Offense Engines Big Data Pixels Acoustic Waves Detectors Backpropagation Gradient Descent Data Privacy Community Bibliographies Semantics Sampling Science Tuning

Most Recent Papers

An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems

Ankur Mali, Alexander G. Ororbia, Dan Kifer, C. Lee Giles, 2021, on p. 356

Network Spillovers and Neighborhood Crime

Corina Graif, Brittany N. Freelin, Yu Hsuan Kuo, Hongjian Wang, Zhenhui Li, Daniel Kifer, 2021, Justice Quarterly on p. 344-374

Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short-Term Memory Models for Soil Moisture Predictions

Kuai Fang, Daniel Kifer, Kathryn Lawson, Chaopeng Shen, 2020, Water Resources Research

CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples

Yuxin Wang, Zeyu Ding, Daniel Kifer, Danfeng Zhang, 2020, on p. 919-938

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

Alexander Ororbia, Ankur Mali, C. Lee Giles, Daniel Kifer, 2020, IEEE Transactions on Neural Networks and Learning Systems on p. 4267-4278

Follow the curve: Arbitrarily oriented scene text detection using key points spotting and curve prediction

Ke Yuan, Dafang He, Xiao Yang, Zhi Tang, Daniel Kifer, C. Lee Giles, 2020,

Rényi differentially private ERM for smooth objectives

Chen Chen, Jaewoo Lee, Daniel Kifer, 2020,

Free gap information from the differentially private sparse vector and noisy max mechanisms

Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer, 2020, Proceedings of the VLDB Endowment on p. 293-306

A learning-based text synthesis engine for scene text detection

Xiao Yang, Dafang He, Daniel Kifer, C. Lee Giles, 2020,

Et-Lasso

Songshan Yang, Xiang Zhan, Jiawei Wen, Daniel Kifer, 2019, on p. 607-616

Most-Cited Papers

No free lunch in data privacy

Daniel Kifer, Ashwin Machanavajjhala, 2011, on p. 193-204

Pufferfish

Daniel Kifer, Ashwin Machanavajjhala, 2014, ACM Transactions on Database Systems

Citation recommendation without author supervision

Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra, C. Lee Giles, 2011, on p. 755-764

A rigorous and customizable framework for privacy

Daniel Kifer, Ashwin Machanavajjhala, 2012, on p. 77-88

Crime rate inference with big data

Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li, 2016, on p. 635-644

Learning to read irregular text with attention mechanisms

Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles, 2017, on p. 3280-3286

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

Kuai Fang, Chaopeng Shen, Daniel Kifer, Xiao Yang, 2017, Geophysical Research Letters on p. 11,030-11,039

HESS opinions: Incubating deep-learning-powered hydrologic science advances as a community

Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi John Chang, Sangram Ganguly, Kuo Lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li, Wen Ping Tsai, 2018, Hydrology and Earth System Sciences on p. 5639-5656

Learning to extract semantic structure from documents using multimodal fully convolutional neural networks

Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, C. Lee Giles, 2017, on p. 4342-4351

Multi-scale FCN with cascaded instance aware segmentation for arbitrary oriented word spotting in the wild

Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alex G. Ororbia, Daniel Kifer, C. Lee Giles, 2017, on p. 474-483